
For a graph G, let nG(u,v) be the number of vertices of G that are strictly closer to u than to v. The distance–unbalancedness index uB(G) is defined as the sum of |nG(u,v)−nG(v,u)| over all unordered pairs of vertices u and v of G. In this paper, we show that the minimum distance–unbalancedness of the merged graph C3⋅T is (n+2)(n−3), where C3⋅T is obtained by attaching a tree T to the cycle C3.
Citation: Zhenhua Su, Zikai Tang. Minimum distance–unbalancedness of the merged graph of C3 and a tree[J]. AIMS Mathematics, 2024, 9(7): 16863-16875. doi: 10.3934/math.2024818
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For a graph G, let nG(u,v) be the number of vertices of G that are strictly closer to u than to v. The distance–unbalancedness index uB(G) is defined as the sum of |nG(u,v)−nG(v,u)| over all unordered pairs of vertices u and v of G. In this paper, we show that the minimum distance–unbalancedness of the merged graph C3⋅T is (n+2)(n−3), where C3⋅T is obtained by attaching a tree T to the cycle C3.
Throughout this paper, all graphs are simple, undirected, finite, and connected. Let G be a graph on n vertices with vertex set V(G) and edge set E(G). For two vertices u and v of G, let distG(u,v) denote the distance in G between u and v, and let nG(u,v) be the number of vertices w of G that are strictly closer to u than to v, that is, that satisfy distG(u,w)< distG(v,w). We say that this pair of vertices is balanced if nG(u,v)=nG(v,u). Thus, a connected graph is distance-balanced if and only if every pair of adjacent vertices is balanced.
For a positive integer n, the complete bipartite graph K1,n−1 will be called the star of order n and will be denoted by Sn−1. The cycle of order n≥3 will be denoted by Cn, and the path of order n (and thus length n−1) will be denoted by Pn.
Topological indices play an important role in mathematical chemistry as well as in graph theory, which has been studied for several decades. Various indices are defined as sums of certain quantities over all vertices (such as the first Zagreb index [1]), over all pairs of adjacent vertices (such as the Szeged index [2]), or over all pairs of vertices of graphs (such as the Wiener index [3]).
To measure the peripherality in a graph G (i.e., how far a graph is from being distance–balanced [4]), Došlić et al. [5] introduced the Mostar index of G, which is defined as
Mo(G)=∑uv∈E(G)|nG(u,v)−nG(v,u)|. |
This index is closely related to the concept of distance-balancedness of graphs, which was first studied in [6]. In terms of the Mostar index, a graph is distance-balanced if and only if its Mostar index is equal to 0. For more research on the Mostar index, see [7,8,9].
In 2021, Miklavič and Šparl [10] introduced the distance–unbalancedness (index) of a graph G which is defined as
uB(G)=∑{u,v}∈(V(G)2)|nG(u,v)−nG(v,u)|, |
where (V(G)2) denotes the set of all 2-element subsets of the vertex set V(G) of G.
As the definition of distance–unbalancedness involves a summation over all unordered pairs of distinct vertices, this parameter is much harder to approach than many other comparable parameters. Therefore, there have been very few results in this field up to now.
Miklavič and Šparl [10] computed the distance–unbalancedness index uB(G) for members of some well-known families of graphs, such as the complete multipartite graphs, the wheel graphs, and the Cartesian products of paths by cycles. Specifically, the distance–unbalancedness index of paths with n vertices was obtained
uB(Pn)={(n−1)(n+1)(2n−3)12,ifnisodd,(n−2)n(2n+1)12,ifniseven. |
A few conjectures about the minimum or maximum distance–unbalancedness indices of trees, spider graphs, and kite graphs are proposed.
Later, Kramer and Rautenbach [11] confirmed one of the above conjecture, and showed that the stars minimize the distance–unbalancedness among all trees of a fixed order, i.e.,
uB(T)≥uB(K1,n−1)=(n−1)(n−2). |
Meanwhile, they [12] contributed to problems posed by Miklavič and Šparl, and obtained the maximum distance–unbalancedness of the tree and the subdivided star, where the subdivided star S(n1,⋯,nk) arises from the star K1,k with the k edges e1,⋯,ek by subdividing the edge ei exactly ni−1 times for every i∈{1,⋯,k}.
A merged graph of C3 and a tree T, denoted by C3⋅T, is obtained by attaching one vertex of the cycle C3 with a vertex of a tree T, where |V(T)|=n−2. S3,n and P3,n are the merged graphs obtained by attaching a pendent-vertex of the star Sn−3 and an end-vertex of the path Pn−2 to C3, respectively. Especially, let ¯S3,n be the merged graph obtained by attaching the center of the star Sn−3 to C3. Clearly, |V(C3⋅T)|=|V(P3,n)|=|V(S3,n)|=|V(¯S3,n)|=n.
Although the conjecture of minimum distance–unbalancedness of trees has been solved, there are still some open problems worth studying in [10], such as the following:
Problem 1.1 (Miklavič and Šparl [10]) For each integer n≥3, determine the smallest possible nonzero value of the distance–unbalancedness index among all connected graphs of order n and classify all graphs attaining this value.
Very recently, Ghorbani and Vaziri [13] classified all distance–balanced graphs with Sz-complexity one, where the Sz-complexity (W-complexity) is the number of different contributions to the Szeged index (Wiener index) in its summation formula. Moreover, the Sz-complexity and W-complexity of some merged graphs, such as the windmill graph and the Duch windmill graph, are determined. Inspired by this, we mainly study the minimum distance-unbalancedness of a merged graph C3⋅T. The minimum value and extremal graph with the minimum distance–unbalancedness of a merged graph C3⋅T are characterized, which has certain significance for investigating Problem 1.1. The detailed results are summarized as follows:
Theorem 1.2 Let H=C3⋅T be a merged graph of C3 and a tree T, where |V(T)|=n−2 and |V(C3⋅T)|=n. Then
uB(H)≥{uB(P3,5)=12,ifn=5,uB(S3,6)=20,ifn=6,uB(¯S3,n)=(n+2)(n−3),ifn≥7. |
Moreover, uB(H)=12 if and only if H=P3,5 for n=5, and uB(H)=20 if and only if H=S3,6 for n=6, and uB(H)=(n+2)(n−3) if and only if H=¯S3,n for n≥7.
The rest of this paper is devoted to the proof of Theorem 1.2.
For a graph G, the k-th power graph Gk of G has the same vertex set as G, and two distinct vertices of G are adjacent in Gk if their distance in G is at most k. In order to prove Theorem 1.2, we consider the following auxiliary parameter:
uBk(G)=∑uv∈E(Gk)|nG(u,v)−nG(v,u)|, |
and we establish the following lemma.
Lemma 2.1 Let H=C3⋅T and n≥8, then uB3(H)≥(n+2)(n−3).
Before proving the lemma, we show that Theorem 1.2 is an immediate consequence.
Proof of Theorem 1.2. For n≥8, we have uB(H)≥uB3(H)≥(n+2)(n−3) by Lemma 2.1. It is an easy calculation that H=S3,n satisfies uB(H)=(n+2)(n−3). Now, in order to complete the proof, we only need to prove that uB(H)>(n+2)(n−3) if H≠S3,n. Since uB(H)=(n+2)(n−3) implies uB(H)=uB3(H), we have nH(u,v)=nH(v,u) for every two vertices u and v at distance four in H.
Let u and v be two vertices at distance four in H. Suppose u has a neighbor u′ that does not lie on the path P between u and v, and v′ is the neighbor of v on P. If u′ and v′ have a distance of four, we obtain that nH(u′,v′)<nH(u,v)=nH(v,u)<nH(v′,u′), which is a contradiction. Therefore, if there are vertices at distance four in H, nH(u,v)=nH(v,u) implies that the induced subgraph of H is isomorphic to the solid line in Figure 1(a). Furthermore, by the distinct connections with the center vertex w, we can conclude that H can only be isomorphic to the graph in Figure 1(a) or 1(b). In Figure 1(a), we have
uB(H)>uB2(H)=∑uv∈E(H)|nH(u,v)−nH(v,u)|+∑uv∈E(H2)∖E(H)|nH(u,v)−nH(v,u)|≥[(n−5)(n−2)+2(n−3)+2(n−6)]+[2(n−4)+(n−7)⋅4+2(n−5)]=(n+2)(n−3)+6(n−8)≥(n+2)(n−3). |
In Figure 1(b), H is obtained by attaching (n−4)3 stars S3 and one subgraph S3+e to the center vertex w. So, we have
uB(H)≥uB3(H)=∑uv∈E(H)|nH(u,v)−nH(v,u)|+∑uv∈E(H2)∖E(H)|nH(u,v)−nH(v,u)|+2(n−6)≥[2(n−4)3(n−2)+(n−4)3(n−6)+3(n−6)+2(n−3)]+[2(n−4)3(n−4)+2(n−5)]=(n+2)(n−3)+23(n2−7n+3)>(n+2)(n−3). |
If the maximum distance between every two vertices u and v of H is three, then H is isomorphic to the graph in Figure 2. If there are x pendant vertices far from the cycle C3, then the number of pendant vertices adjacent to C3 is (n−4−x). So, we have
uB(H)≥uB2(H)=∑uv∈E(H)|nH(u,v)−nH(v,u)|+∑uv∈E(H2)∖E(H)|nH(u,v)−nH(v,u)|≥[(n−4)(n−2)+|n−x−1−(x+1)|+2(n−3)]+[x(n−x−2)+(n−x−4)⋅x+2(x−1)+(n−4−x)⋅2]≥{(n+2)(n−3)+2(n−7),x=1,(n+2)(n−3)+3n−22+|n−x−1−(x+1)|,x≥2.>(n+2)(n−3). |
For n=5,6, and 7, using enumeration to calculate the minimum value of uB(H). For convenience, we use the degree sequence of graphs to represent graph H. For instance, the degree sequence of graph P3,5 is denoted by (2,2,3,2,1), the degree sequence of S3,6 is denoted by (2,2,3,3,1,1), and the degree sequence of ¯S3,7 is denoted by (2,2,6,1,1,1,1).
If n=5, since H=C3⋅T, then T=P3, and by the distinct attaching of C3 with P3, H1=(2,2,3,2,1), or H2=(2,2,4,2,1). It is easy to obtain by calculation that uB(H1)=12 and uB(H2)=14, and hence, uB(H)≥uB(H1)=12, where H1=(2,2,3,2,1)=P3,5.
If n=6, then T=P4 or T=S3. Analogously, by the distinct attachment of C3 to P4 or S3, there exist four degree sequences: H1=(2,2,3,2,2,1), H2=(2,2,4,1,2,1), H3=(2,2,3,3,1,1), and H4=(2,2,5,1,1,1). It is not difficult to obtain that uB(H1)=22, uB(H2)=28, uB(H3)=20, and uB(H4)=24. Therefore, uB(H)≥uB(H3)=20, where H3=(2,2,3,3,1,1)=S3,6.
For n=7, then T=P5, or T=S4, or T is a merged graphs obtained by attaching a pendent vertex of S3 to P2. Analogously, by the distinct attachment of C3 to T, there exists nine degree sequences: H1=(2,2,3,2,2,2,1), H2=(2,2,4,1,2,2,1), H3=(2,2,4,2,2,1,1), H4=(2,2,3,3,1,2,1), H5=(2,2,5,1,1,2,1), H6=(2,2,4,1,3,1,1), H7=(2,2,3,2,3,1,1), H8=(2,2,3,4,1,1,1), and H9=(2,2,6,1,1,1,1). After some tedious calculations, it can be concluded that uB(H)≥36, with equality holds if and only if H=H9=¯S3,7.
This completes the proof.
In this section, we proceed to the proof of the lemma.
Proof of Lemma 2.1. Choose the graph H=C3⋅T of order n such that uB3(H) is as small as possible. Hence, H has at least one vertex of degree ≥3. We will consider two different cases.
Case 1. H has exactly one vertex c of degree k+2, where k≥1.
In this case, there are k+1 components of H−c, one of which is P2, and the other k components are paths of orders n1,⋯,nk, such that n1≥n2≥⋯≥nk≥1. Thus, n1+n2+⋯+nk=n−3.
Case 1.1. n1≤n2.
Note that ∑ki=1[(n−4)+(n−6)+⋯+n−2(ni−1)]+2(n−2n1)+∑k−1i=1∑kj=i+1(n−2ni)≥2n−10 for n≥8, and thus have
uB3(H)≥k∑i=1[(n−2)+(n−3)+⋯+(n−2ni)]+k−1∑i=1k∑j=i+1(ni−nj)+2(n−3)+k∑i=12|ni−2|+k∑i=1[(n−4)+(n−6)+⋯+n−2(ni−1)]+2(n−2n1)+k−1∑i=1k∑j=i+1(n−2ni) |
≥k∑i=1[(2ni−1)n−ni(2ni+1)+1]+(n1−n2)+2(n−3)+k∑i=12|ni−2|+2n−10=f1(n,k)+(n1−n2)−k∑i=12n2i+k∑i=12|ni−2|, |
where f1(n,k)=2n2−(k+3)n+k−13.
We consider the following optimization problem:
minf1(n,k)+(n1−n2)−k∑i=12n2i+k∑i=12|ni−2|, |
s.t.n2≥n1≥n2≥⋯≥nk≥1, | (3.1) |
n1+n2+⋯+nk=n−3. |
Let (n1,n2,⋯,nk) be a lexicographically maximal optimal solution of (3.1).
If n1<n2, ni>1 for some i∈{2,⋯,k}, and i is chosen largest with this property, then
n1+1−(n2−1)−2(n1+1)2−2(ni−1)2+2(n1+1−2)+2|ni−1−2|−[n1−n2−2n21−2n2i+2(n1−2)+2|ni−2|]≤{−4(n1−ni)−2,ni>2,−4(n1−ni)+2,ni=2. |
Therefore, if ni>2 or n1>ni=2, (n1+1,⋯,ni−1,⋯,nk) is a better solution of (3.1), which is a contradiction. This implies that there are only two cases:
(a)n1=⋯=ni=2,ni+1=⋯=nk=1.
(b)n1=n−k−2,n2=⋯=nk=1.
In the first case, since 2(n−2n1)+∑k−1i=1∑kj=i+1(n−2ni)≥3(n−4), we have
uB3(H)≥k∑i=1[(2ni−1)n−ni(2ni+1)+1]+(n1−n2)+2(n−3)+3(n−4)+k∑i=12|ni−2|=(n+2)(n−3)+(i−1)(n−3)+n+3k−i−8>(n+2)(n−3).(n≥8,1≤i≤k) |
In the second case, since f(n1)=−2n21+(n+2)n1+n−14 is a quadratic function that is concave down and f(2)=f(n2−1)=3n−18>0 for n≥8, we get f(n1)>0. Therefore,
uB3(H)≥k∑i=1[(2ni−1)n−ni(2ni+1)+1)]+(n1−n2)+4n−16+k∑i=12|ni−2|=(n+2)(n−3)−2n21+(n+2)n1+n−14>(n+2)(n−3). |
Finally, if n1=n2 and n2<n2−k−1, then ni>1 for some i∈{3,⋯,k}. If i is largest with this property, then
−(n2+1)−2(n2+1)2−2(ni−1)2+2|n2+1−2|+2|ni−1−2|−[−n2−2n22−2n2i+2|n2−2|+2|ni−2|]≤−(n2−ni)−1<0. |
This implies that (n1,n2+1,⋯,ni−1,⋯,nk) is a better solution of (3.1), which is a contradiction. So, there is only the following case:
(c)n1=n2, n2=n2−k−1, n3=⋯=nk=1. Therefore, we have
uB3(H)≥k∑i=1[(2ni−1)n−ni(2ni+1)+1)]+(n1−n2)+4n−16+k∑i=12|ni−2|=(n+2)(n−3)+(n−2k)(k−2)+5n−8k−12>(n+2)(n−3).(2≤k≤n2−3) |
Case 1.2. n1>n2.
Note that for n≥8, ∑ki=1[(n−4)+(n−6)+⋯+|n−2(ni−1)|]+2(2n1−n)≥2n−10+4=2n−6, we have
uB3(H)≥[(n−2)+⋯+0+1+⋯+(2n1−n)]+k∑i=2[(n−2)+⋯+(n−2ni)]+k−1∑i=1k∑j=i+1(ni−nj)+2(n−3)+k∑i=12|ni−2|+k∑i=1[(n−4)+(n−6)+⋯+|n−2(ni−1)|]+2(2n1−n)+k−1∑i=1k∑j=i+1|(2ni−n)|≥[(n−2)+⋯+0+1+⋯+(2n1−n)]+k∑i=2[(n−2)+⋯+(n−2ni)]+k∑i=2(n1−ni)+2(n−3)+k∑i=12|ni−2|+2n−6≥12(n−1)(n−2)+12(2n1−n)(2n1−n+1)+(k−1)n1+k∑i=2[(2ni−1)n−ni(2ni+1)+1−ni)]+4(n−3)+k∑i=12|ni−2|=f2(n,k)+2n21−n1(4n−k)−k∑i=2(2n2i+2ni)+k∑i=12|ni−2|, |
where f2(n,k)=2n2−(k−1)n+k−12.
We consider the following optimization problem:
minf2(n,k)+2n21−n1(4n−k)−k∑i=2(2n2i+2ni)+k∑i=12|ni−2|, |
s.t.n1>n2,n1≥n2≥⋯≥nk≥1, | (3.2) |
n1+n2+⋯+nk=n−3. |
Let (n1,n2,⋯,nk) be a lexicographically maximal optimal solution of (3.2).
Note that n1+ni≤n1+n2≤n−3−(k−2)=n−k−1, 4(n1+ni)−4n+k+6≤4(n−k−1)−4n+k+6=−3k+2<0.
If ni>1 for some i∈{2,⋯,k}, and i is largest with this property, then
[2(n1+1)2−(n1+1)(4n−k)−2(ni−1)2−2(ni−1)+2(n1+1−2)+2|ni−1−2|]−[2n21−n1(4n−k)−2n2i−2ni+2(n1−2)+2|ni−2|]≤4(n1+ni)−4n+k+6<0. |
This observation implies that
(d)n1=n−k−2, n2=⋯=nk=1. Therefore, we obtain
uB3(H)≥12(n−1)(n−2)+12(2n1−n)(2n1−n+1)+(k−1)n1+(k−1)(n−3)+4(n−3)+2(n−5)=(n+2)(n−3)+k(k+3)−4≥(n+2)(n−3). |
Case 2. H has at least two vertices of degree at least three.
Considering the vertex of degree at least three that is farthest to C3, denoted as c, which has a degree of k+1, where k≥2. It follows that H−c has k+1 components, where k components are paths of orders n1,⋯,nk with n1≥n2≥⋯≥nk≥1. Let n′=1+n1+n2+⋯+nk, the other component K of order n−n′.
Let d∈V(K) be the neighbor of c. Let the new graph H′ arise from the disjoint union of K and a path P of order n′ by adding one edge between d and an endvertex of P. Our goal is to show that uB3(H)>uB3(H′), which would contradict the choice of H, and complete the proof.
Case 2.1. n′=1+n1+n2+⋯+nk≤n2.
uB3(H)−uB3(H′)=k∑i=1[(n−2)+⋯+(n−2ni)+(n−n′−ni)]+k−1∑i=1k∑j=i+1(ni−nj)+k∑i=1[(n−4)+(n−6)+⋯+n−2(ni−1)+(n−2ni)]+k−1∑i=1k∑j=i+1(n−2ni)−[(n−2)+⋯+n−(2n′−1)]−[(n−4)+(n−6)+⋯+n−2(n′−1)] |
≥k∑i=1[(2ni−1)n−ni(2ni+1)+1+(n−n′−ni)]+k∑i=1[(ni−2)(n−ni−1)+(n−2ni)]+k∑i=2(n−2ni)−[(2n′−1)n−n′(2n′−1)+1]−[(n′−2)(n−n′−1)]=f3(n,n′,k)+2n1−k∑i=13n2i. |
where f3(n,n′,k) is a suitable function of n,n′ and k.
By the convexity of the function g(x)=x2,
minf3(n,n′,k)+2n1−k∑i=13n2i, |
s.t.n1≥n2≥⋯≥nk≥1, |
n1+n2+⋯+nk=n′−1, |
implies that
(e)n1=n′−k, n2=⋯=nk=1.
Note that 3n′=2n′+n′≥2(k+1)+3≥2k+5, and hence,
uB3(H)−uB3(H′)≥k∑i=1[(2ni−1)n−ni(2ni+1)+1+(n−n′−ni)]+(n1−2)(n−n1−1)+k(n−2n1)−[(2n′−1)n−n′(2n′−1)+1]−[(n′−2)(n−n′−1)]≥(3n′−2k−3)(k−1)>0. |
Case 2.2. n′=1+n1+n2+⋯+nk>n2.
Case 2.2.1. n1≤n2.
Similar to the above case, it can be concluded that
uB3(H)−uB3(H′)=k∑i=1[(n−2)+⋯+(n−2ni)+|n−n′−ni|]+k−1∑i=1k∑j=1(ni−nj)+k∑i=1[(n−4)+(n−6)+⋯+n−2(ni−1)+(n−2ni)]+k−1∑i=1k∑j=i+1(n−2ni)−[(n−2)+⋯+1+0+1+⋯+(2n′−1)−n]−[(n−4)+⋯+2+0+2+⋯+2(n′−1)−n]≥k∑i=1[(2ni−1)n−ni(2ni+1)+1+|n−n′−ni|] |
+k∑i=1[(ni−2)(n−ni−1)+(n−2ni)]+k∑i=2(n−n1−ni)−[12(n−1)(n−2)+12(2n′−n)(2n′−n−1)]−[14(n−2)(n−4)+(n′−n2)(n′−n2−1)]=f4(n,n′,k)−(k−2)n1−k∑i=13n2i+k∑i=1|n−n′−ni|, |
where f4(n,n′,k) is a suitable function of n,n′ and k.
By the convexity of the function g(x)=x2,
minf4(n,n′,k)−(k−2)n1−k∑i=13n2i+k∑i=1|n−n′−ni|, |
s.t.n1≥n2≥⋯≥nk≥1, |
n1+n2+⋯+nk=n′−1, |
implies that
(f)n1=n′−k, n2=⋯=nk=1.
Note that f(n′)=−6n′2+(6n+5k+1)n′−32n2−(k+2)n−2k2+1 is a quadratic function that is concave, where n2+1≤n′≤n−3. By some tedious calculations, it can be concluded that f(n2+1)>0 and f(n−3)>0. Therefore, we have
uB3(H)−uB3(H′)≥−6n′2+(6n+5k+1)n′−32n2−(k+2)n−2k2+1>0. |
Case 2.2.2. n1>n2.
We have
uB3(H)−uB3(H′)=(n−2)+⋯+1+0+1+⋯+(2n1−n)+n1−(n−n′)+k∑i=2[(n−2)+⋯+(n−2ni)+|n−n′−ni|]+k−1∑i=1k∑j=1(ni−nj)+[(n−4)+⋯+2+0+2+⋯+(2n1−n)]+k∑i=2[(n−4)+⋯+n−2(ni−1)+(n−2ni)]+k−1∑i=1k∑j=i+1|(n−2ni)|−[(n−2)+⋯+1+0+1+⋯+(2n′−1)−n]−[(n−4)+⋯+2+0+2+⋯+2(n′−1)−n]≥k∑i=2[(2ni−1)n−ni(2ni+1)+1+|n−n′−ni|]+k∑i=2(3n1−ni−n)+k∑i=2[(ni−2)(n−ni−1)+(n−2ni)]−3(n′+n1−n)(n′−n1−1) |
=f5(n,n′,k)−(6n−3k−7)n1−k∑i=23n2i+k∑i=2|n−n′−ni|, |
where f5(n,n′,k) is a suitable function of n,n′ and k.
We consider the following optimization problem:
minf5(n,n′,k)−(6n−3k−7)n1−k∑i=23n2i+k∑i=2|n−n′−ni|, |
s.t.n1≥n2≥⋯≥nk≥1, |
n1+n2+⋯+nk=n′−1. |
Note that
−(6n−3k−7)(n1+1)−3(ni−1)2+|n−n′−(ni−1)| |
−[−(6n−3k−7)n1−3n2i+|n−n′−ni|] |
≤−6[n−ni−3k+56)]<−6(n−n′)<0, |
and hence,
(g)n1=n′−k, n2=⋯=nk=1. Then
uB3(H)−uB3(H′)≥(k−1)(2n−n′−3)+(k−1)(3n1−n−1)−3(k−1)(2n′−k−n)=4(k−1)(n−n′−1)>0. |
which is the desired contradiction, completing the proof.
From [11], Kramer and Rautenbach showed that the star is the unique tree of order n having the minimum possible distance–unbalancedness index among all trees of order n. This result leads to a natural questions what is the minimum distance–unbalancedness index and the extremal graph among all unicylic graphs of order n? After trying, we found that it is extremely difficult, and we cannot even determine the minimum value of a unicylic graph with girth three.
In the paper, the minimum value and extremal graph with the minimum distance–unbalancedness of a merged graph C3⋅T are characterized. As a type of connected graphs, our work is of interest, which has certain significance for investigating Problem 1.1. However, Problem 1.1 has been completely confirmed, and there will still be numerous tasks to be done.
Finally, we propose the following conjecture based on previous results:
Conjecture 4.1. Let G be a unicylic graph on n vertices with girth three. Then
uB(G)≥{uB(P3,5)=12,ifn=5,uB(S3,6)=20,ifn=6,uB(¯S3,n)=(n+2)(n−3),ifn≥7. |
Zhenhua Su: Writing-original draft preparation, Writing-review and editing; Zikai Tang: Formal analysis, Methodology. All authors have read and agreed to the published version of the manuscript.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
This work is supported by the Department of Education of Hunan Province (22B0763).
The authors declare that they have no conflicts of interest.
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